Mingui Fu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 2%
- interferon and immune responses
- Immune cells in cancer
Papers in
- Immunology 39
- interferon and immune responses 18
- Immune Response and Inflammation 10
- Immune cells in cancer 7
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- NF-κB Signaling Pathways 11
- Co-authors
- Jifeng Zhang (21 shared papers)Jian Liang (9 shared papers)Yuqing E. Chen (15 shared papers)Perry J. Blackshear (3 shared papers)Xiaojun Zhu (11 shared papers)David J. Mangelsdorf (4 shared papers)Pappachan E. Kolattukudy (4 shared papers)Xuan Huang (8 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Scientific Reports (6 papers)PLoS ONE (6 papers)The Journal of Immunology (5 papers)Biochemical Journal (5 papers)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Mingui Fu
102 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 1.2k
- Immunology 1.7k
- Molecular Biology 3.2k
- Physiology 138
- Geriatrics and Gerontology 90
Countries citing papers authored by Mingui Fu
This map shows the geographic impact of Mingui Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingui Fu more than expected).
Fields of papers citing papers by Mingui Fu
This network shows the impact of papers produced by Mingui Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingui Fu. The network helps show where Mingui Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingui Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 278 | |
| 2 | 2010 | 265 | |
| 3 | 2009 | 241 | |
| 4 | 2014 | 241 | |
| 5 | 2004 | 233 | |
| 6 | 2008 | 221 | |
| 7 | 2018 | 214 | |
| 8 | 2005 | 199 | |
| 9 | 2014 | 185 | |
| 10 | 2012 | 177 | |
| 11 | 2001 | 158 | |
| 12 | 2014 | 149 | |
| 13 | 2008 | 140 | |
| 14 | 2003 | 136 | |
| 15 | 2002 | 127 | |
| 16 | 2015 | 113 | |
| 17 | 2014 | 108 | |
| 18 | 2013 | 96 | |
| 19 | 2002 | 90 | |
| 20 | 2015 | 89 |
About Mingui Fu
Mingui Fu is a scholar working on Immunology, Cancer Research, Molecular Biology, Oncology and Epidemiology, having authored 105 papers that have together received 6.1k indexed citations. Recurring topics across this work include interferon and immune responses (18 papers), Peroxisome Proliferator-Activated Receptors (16 papers), NF-κB Signaling Pathways (11 papers), Immune Response and Inflammation (10 papers), Adipose Tissue and Metabolism (10 papers), RNA Research and Splicing (8 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Immune cells in cancer (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Immunology (1.7k citations), Molecular Biology (3.2k citations), Physiology (138 citations) and Geriatrics and Gerontology (90 citations). Mingui Fu has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jifeng Zhang, Jian Liang, Yuqing E. Chen, Perry J. Blackshear, Xiaojun Zhu, David J. Mangelsdorf, Pappachan E. Kolattukudy, Xuan Huang, Tingwan Sun and Angie L. Bookout. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, PLoS ONE, The Journal of Immunology and Biochemical Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.